Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (S1): 121-126.doi: 10.11947/j.AGCS.2016.F015

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Police Spatial Big Data Location Code and Its Application Prospect

HU Xiaoguang1, GAO Shuhui1, TONG Xiaochong2, CHENG Chengqi3, CAI Nengbin4   

  1. 1. Institute of Forensic Science, People's Public Security University of China, Beijing 100038, China;
    2. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China;
    3. College of Engineering, Peking University, Beijing 100871, China;
    4. Shanghai Key Laboratory of Criminal Scene Evidence, Shanghai 200083, China
  • Received:2016-08-20 Revised:2016-10-20 Online:2016-12-31 Published:2017-03-29
  • Supported by:
    2016 Discipline Construction Project of Institute of Forensic Science, PPSUC;2016 Shanghai Institute of Criminal Science and Technology Project (2016XCWZK10);The Fundamental Research Funds for the Central Universities, PPSUC(2016JKF01315)

Abstract: The rich decision-making basis are provided for police work by police spatial big data. But some challenges are also brought by it, such as:large data integration complex, multi scale information related difficulties, the location identification is not unique. Thus, how to make the data better service to the police work reform and development is a problem need to be study. In this paper, we propose location identification method to solve the existing problems. Based on subdivision grid, we design the location encoding method of police spatial big data, and choose domicile location identification as a case. Finally, the prospect of its application is presented. So, a new idea is proposed to solve the problem existing in the police spatial data organization and application.

Key words: police spatial big data, location identification, location coding, subdivision grid

CLC Number: